The primary objective is to develop a comprehensive Online Therapy MVP that will provide a safe and accessible space for individuals to connect with professional therapists and psychologists. Tailored to the unique needs of the Gulf Cooperation Council (GCC) countries, the project aspires to set new standards in the mental healthcare landscape of the region, offering an unrivalled experience with a wide range of services and features. The application will strive to be robust and highly secure, not only meeting the expectations but exceeding the aspirations of the targeted audience in need of mental health support. One key feature of the solution will be the ability for clients to browse a comprehensive set of assessment questionnaires (intake quiz) and be matched with the most suitable therapist respective to the diagnosed underlying problems, as well as the ability for users to purchase subscription tier-based service packages. Along with the integration of video call functionality, using a third-party service like Twilio or Vonage. This will allow the service provider and their clients to communicate remotely, increasing the accessibility of the services being offered.

 

The application is an interactive and efficient online platform to connect home care enterprises with certified caregivers. The platform aims to address challenges such as timely service delivery for enterprises and optimal schedule utilization for caregivers by providing a seamless connection between both parties.

This project delivers an integrated AI and analytics platform for the Foundation for Sickle Cell Disease Research (FSCDR). It connects ECW (eClinicalWorks) EHR data with advanced AI-based predictive models to identify high-risk patients, automate follow-ups, and streamline state grant reporting (CMO99, CMOAE Tasks 5–13).
The goal is to transform static EHR data into actionable insights — improving research visibility, compliance, and patient outcomes while cutting down manual reporting workloads. The solution supports predictive ER-risk modeling, AI-based outreach automation, and Power BI-driven compliance dashboards across FSCDR’s Centers of Excellence.